• Comparing Tests for a Mixed Design with Block Effect 

  Zhao, Hui (North Dakota State University, 2009)

  Tests Comb and Comb II are used to test the equality of means in a mixed design which is a combination of randomized complete block design and completely randomized design. The powers of Comb and Comb II for a mixed ...

• Robust Tests for Cointegration with Application to Statistical Arbitrage Trading Strategies 

  Hanson, Thomas Alan (North Dakota State University, 2010)

  This study proposes two new cointegration tests that employ rank-based and least absolute deviation techniques to create a robust version of the Engle-Granger cointegration test. Critical values are generated through a ...

• A Pilot Study of Module Interconnectedness 

  Vanguru, Prasanth (North Dakota State University, 2010)

  Complexity plays an important role in understanding and working with a program, and has been measured in many different ways for software applications. The use of statistical analysis is one of the ways to predict the ...

• Factors Influencing Carbon Sequestration in Northern Great Plains Grasslands 

  Annam (North Dakota State University, 2011)

  Soil development is influenced by the five soil forming factors; parent material, climate, landscape, organisms and time. This study was designed to examine the effects of landscape and organisms (vegetation) on carbon ...

• Optimizing Prediction Power of RNA-seq on Intrinsic Characteristics in Breast Cancer 

  Liu, Yuan (North Dakota State University, 2022)

  Breast cancer is the most common cancer in women worldwide, and accurate and early detection of breast cancer is vital in characterizing the disease. Transcriptomic expression is embedded abundant tumor and cell state ...

• The Influence of Race, Age, Comorbidities, and BMI on Disability Following Stroke in Elderly People Living in Their Own Home 

  Endo, Izumi (North Dakota State University, 2020)

  Stroke is one of the major health issues in the United States. I explored different aspects of disability based on a history of stroke, race, comorbidities, age, and body mass index for the population of community dwelling ...

• Rutin Extraction and Content in Buckwheat (Fagopyrum esculentum) Bran-Fortified Pasta 

  Kaiser, Amber Christine (North Dakota State University, 2019)

  The objectives of this study were to optimize extraction of rutin from buckwheat bran and buckwheat bran-fortified spaghetti and to determine the stability of rutin during spaghetti production and preparation. Aqueous ...

• Comparison of Proposed K Sample Tests with Dietz's Test For Nondecreasing Ordered Alternatives for Bivariate Exponential Data 

  Pothana, Jyothsnadevi (North Dakota State University, 2011)

  Comparison of powers is essential to determine the best test that can be used for data under certain specific conditions. Likewise, several nonparametric methods have been developed for testing the ordered alternatives. ...

• A Proposed Nonparametric Test for Simple Tree Alternative in a BIBD Design 

  Wang, Zhuangli (North Dakota State University, 2011)

  A nonparametric test is proposed to test for the simple tree alternative in a Balanced Incomplete Block Design (BIBD). The details of the test statistic when the null hypothesis is true are given. The paper also introduces ...

• Investment Behavior Analysis Based on Tail Risk Management 

  Sun, Yu (North Dakota State University, 2018)

  As behavioral finance is becoming more prevalent in academic area, a study is worth conducting to pinpoint investors’ preference through managing tail risk of asset portfolios. This study investigates investors’ investment ...

• Robust D-Optimal Design for Multiple Nominal Parameter Values under the 5PL-1P Model 

  Liang, Cuiping (North Dakota State University, 2018)

  A robust D-optimal design that works well for multiple nominal parameter values is presented in this paper. In general, D-optimal design works very well for estimating the model parameters, but it is very sensitive to ...

• Exploring Associations between Lifestyles and Metabolic Syndrome in Middle-Age Chinese Population 

  Zhou, Xiaoyi (North Dakota State University, 2018)

  Nowadays the prevalence of Metabolic Syndrome (MetS) affects many middle-age people in China. MetS is associated with the risk of type 2 diabetes and cardiovascular disease. Identifying the potential risk factors contribute ...

• Forecasting Point Spread for Women’s Volleyball 

  Zhang, Deling (North Dakota State University, 2016)

  Volleyball has become a well-known and competitive sport with physical and technical performances over the years. The game results are determined by some important factors such as players, and the team’s skills to succeed ...

• Prediction of the World Cup Soccer Winner: Using Two Statistical Methods 

  Sylla, Mohamed Dit Mody (North Dakota State University, 2016)

  Soccer is considered the most popular sport on earth and applying statistical models to analyze small soccer data has been of a keen interest to modern researchers. Statistical modeling of soccer data also provides guidance ...

• Clustering Algorithm Comparison for Ellipsoidal Data 

  Loeffler, Shane Robert (North Dakota State University, 2015)

  The main objective of cluster analysis is the statistical technique of identifying data points and assigning them into meaningful clusters. The purpose of this paper is to compare different types of clustering algorithms ...

• Identifying Significant Factors Influencing Metabolic Syndrome In China 

  Gu, Xiaoxue (North Dakota State University, 2015)

  Metabolic Syndrome occurs when a person’s body does not properly use and store energy. The disease has five criteria: abdominal obesity, insulin resistance, hypertension, dyslipidemia, and impaired glucose regulation. The ...

• Comparison of Classification Rates among Logistic Regression, Neural Network and Support Vector Machines in the Presence of Missing Data 

  Upadhyaya, Sudhi (North Dakota State University, 2014)

  Statistical models such as Logistic Regression (LR), Neural Network (NN) and Support Vector Machines (SVM) often use datasets with missing values while making inferences regarding the population. When inferences are made ...

• An Application of Simplicial Intercept Depth (SID) Method for Fitting Linear Models 

  Sun, Zhongxing (North Dakota State University, 2014)

  This paper presents an application based on the Simplicial Intercept Depth method introduced by Liu (2004). We use this method to get the best linear fit of the phenotypic data for spot blotch resistant reaction of two ...

• Ds-Optimal Design for Model Discrimination in a Probit Model 

  Liu, Ruifeng (North Dakota State University, 2014)

  In toxicology studies, dose response functions with a downturn at higher doses are often observed. For such response functions, researchers often want to see if the downturn of the response is signifcant. A probit model ...

• Bracketing NCAA Men's Division I Basketball Tournament 

  Zhang, Xiao (North Dakota State University, 2013)

  This paper presents a new bracketing method for all 63 games in the NCAA Division 1 basketball tournament. This method, based on the logistic conditional probability models, is self-consistent in terms of constructing ...

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